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» Ensemble Learning of Regional Classifiers
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IEEECIT
2007
IEEE
13 years 11 months ago
Ensembles of Region Based Classifiers
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
Sungha Choi, Byungwoo Lee, Jihoon Yang
ICTAI
2008
IEEE
13 years 11 months ago
Ensemble Learning of Regional Classifiers
We present a new ensemble learning method that employs a set of regional classifiers, each of which learns to handle a subset of the training data. We split the training data and ...
Byungwoo Lee, Yong-chan Na, Byonghwa Oh, Jihoon Ya...
ICPR
2004
IEEE
14 years 6 months ago
Detecting Abnormal Regions in Colonoscopic Images by Patch-based Classifier Ensemble
In this paper, a new method is proposed to detect abnormal regions in colonoscopic images by patch-based classifier ensemble. Through supervised learning from image patches of var...
Kap Luk Chan, Peng Li, Shankar Muthu Krishnan, Yan...
MCS
2005
Springer
13 years 10 months ago
Ensembles of Classifiers from Spatially Disjoint Data
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
JCST
2006
97views more  JCST 2006»
13 years 4 months ago
Image Region Selection and Ensemble for Face Recognition
In this paper, a novel framework for face recognition, namely Selective Ensemble of Image Regions (SEIR), is proposed. In this framework, all possible regions in the face image are...
Xin Geng, Zhi-Hua Zhou